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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. We heard many stories about difficulties related to data access and basic data processing. In many other frameworks, loading and storing of artifacts is left as an exercise for the user, which forces them to decide what should and should not be persisted.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

DevOps 137
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. We heard many stories about difficulties related to data access and basic data processing. In many other frameworks, loading and storing of artifacts is left as an exercise for the user, which forces them to decide what should and should not be persisted.

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Uncovering Hidden Business Rules with DDD Aggregates

Strategic Tech

In the real world we can be vague about our business rules and processes. Defining Aggregate Boundaries Deciding that specific business operations should succeed or fail together sounds like a simple requirements gathering exercise. Imagine a business rule that all customers must have a first name, middle name, and last name.